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Salary
≈ $30k – $79k per year (Estimated)
Location
In office (Suzhou)
Seniority
Middle · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Oct 8, 2026. Bosch scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Bosch is a German engineering and technology group founded in Stuttgart in 1886 by Robert Bosch as a workshop for precision mechanics and electrical engineering. It is the largest automotive supplier in the world, making braking, steering, powertrain, sensor and driver assistance systems for nearly every carmaker, and it also produces power tools, home appliances through BSH, industrial drives through Rexroth, and building security and heating systems. Around ninety per cent of the company is owned by a charitable foundation, an ownership structure that gives it unusual freedom to invest across long research cycles including semiconductors and hydrogen.

Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

一、企业级GenAI应用开发

  • 负责博世中国内部AI应用平台(LLM RAG平台、AI Agent工作流)的设计、开发与运维,覆盖智能问答助手、智能检索、自动报表、数据洞察提取等场景
  • 基于LLM构建业务Skill与Agent编排能力,实现工程文档处理、跨系统流程自动化、精益制造知识库、可持续发展数据填报等具体业务价值
  • 完成模型的选型、微调、Prompt Engineering与性能评估,保障输出质量、成本与合规可控

二、业务流程数字化与系统集成

  • 与业务方(事业部、工厂、职能团队)对接需求,将业务痛点转化为AI/数字化解决方案,并负责全生命周期交付
  • 打通AI能力与SAP、MES、Power BI、SharePoint / M365等企业系统的数据链路,实现端到端的自动化闭环
  • 推动低代码平台(Power Platform)与AI工具在业务部门的落地赋能,提升整体数字化能力

三、平台治理与团队协作

  • 建立AI应用的监控、评估与迭代机制,保障模型在生产环境的稳定性与可解释性
  • 与数据工程、IT基础设施、信息安全团队协作,确保AI方案符合博世集团数据安全与合规标准
  • 跟踪Agentic AI、多模态、RAG优化等前沿技术,组织内部分享并推动最佳实践沉淀

1 计算机、人工智能、软件工程、信息系统、应用数学等相关专业本科及以上学历

2 3年以上AI/大模型相关开发经验,有企业级AI项目端到端落地经验者优先

3 具备将AI能力对接企业系统(ERP/MES/BI/CRM)的实战经验

4 精通Python,熟悉常用数据处理与深度学习库

5 熟悉LLM原理与Agentic AI技术栈,具备LangChain、LlamaIndex、RAG、Prompt Engineering、Agent编排的实际项目经验

6 熟悉主流深度学习/NLP框架(PyTorch、TensorFlow、Transformer),了解模型微调与部署

7 具备云平台(Azure / AWS / 阿里云)与AI生态(OpenAI、Azure OpenAI)项目经验

8 熟悉SQL与主流数据库,具备基础的数据工程能力(ETL、数据管道)

9 了解M365生态(Power BI、Power Automate、Power Apps、SharePoint)者优先

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